Seminarier och kurser i hälsoekonomi

Under hösten 2012 startade Hälsoekonomiskt forum vid Uppsala universitet månatliga seminarier i hälsoekonomi. Seminarierna är öppna för alla forskare med ett intresse för hälsoekonomi, och kommer att hållas första fredagen i månaden kl 13:30-15:00. Seminarieserien startade med ett halvdagsseminarium den 20 september 2012. Hälsoekonomiskt forum vid Uppsala universitet är tänkt som en tvärvetenskaplig mötespunkt för forskare intresserade av hälsoekonomi som kommer både från den samhällsvetenskapliga och medicinska fakulteten. Huvudaktiviteten kommer att vara seminarier, kurser och konferenser inom hälsoekonomi.

Aktuella seminarier och aktiviteter

Due to the ongoing COVID-19-pandemic we unfortunately have to reschedule/postpone the course until spring 2021.

HEFUU’s 7th Annual mini-course 8-9  June, 2020 in Uppsala
Causal inference: Learning what works
Professor Migual Hernan, Harvard University

Health Economic Forum at Uppsala University (HEFUU) invites researchers and doctoral students – both from medical and social sciences – to a course on causal inference from epidemiological and medical perspective with Professor Miguel Hernan, Harvard University. The objective of the course is to learn how to determine “what works” using data from observational and randomized studies.

Professor Hernan is a leading academic in the interplay between causal inference and machine learning. His research is focused on learning what works for the treatment and prevention of diseases like cancer, cardiovascular disease, and HIV infection. He has an interest in how to generate, analyze, and interpret data to guide health policy and clinical decisions.

The cost for the course is 2000 SEK, but is reduced to 1000 SEK for students, and covers lunch and coffee during both days.
Register for the course - postponed to spring 2021

Course description

The course introduces students to a general framework for the assessment of comparative effectiveness and safety, with an emphasis of the use of routinely collected data in healthcare settings. The framework relies on the specification and emulation of a hypothetical randomized trial: the target trial. The course explores key challenges for causal inference and critically reviews methods proposed to overcome those challenges. The methods are presented in the context of several case studies for cancer, cardiovascular, renal, and infectious diseases.   
More information about the course.